Singapore National AI Strategy 2.0

• Authority: Government of Singapore
• Jurisdiction: Other countries
• Collections: Editors' Picks;Miscellaneous documents
• Most recent activity: Proposed
• Most recent activity date: 2023-12-04

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• AI system security vulnerabilities
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Unfair discrimination and misrepresentation
• Compromise of privacy
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Fraud, scams, and targeted manipulation
• Competitive dynamics
• Environmental harm
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 6-8 subdomains, with strong focus on AI system security (2.2), governance failure (6.5), lack of robustness (7.3), and lack of transparency (7.4). There is minimal coverage of malicious actors (4.1, 4.2, 4.3), competitive dynamics (6.4), and goal misalignment (7.1). The document primarily addresses governance, security, and system safety domains rather than discrimination, privacy, or misinformation risks.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Information
• Professional & Technical Services
• Scientific Research & Development Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Finance & Insurance
• Management, Administrative & Support Services
• Educational Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This national AI strategy governs AI development and deployment across all major economic sectors in Singapore. It has particularly strong coverage of Information (AI companies, technology sector), Scientific Research and Development Services, Professional and Technical Services, Finance and Insurance, Health Care, Manufacturing, and Public Administration. The strategy explicitly addresses both leading economic sectors and smart nation priorities across the economy.

Legislative Status

Soft Law

Legislative Status Summary

This is a national strategic policy document that outlines voluntary goals, actions, and initiatives rather than binding legal obligations. The language is predominantly aspirational and programmatic ('will', 'should', 'intend to') without enforcement mechanisms or penalties.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is authored by the Government of Singapore as indicated in the document information. It represents a whole-of-government strategy coordinating multiple agencies and ministries.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User, AI_Infrastructure_Provider
• Summary: The strategy applies broadly to multiple stakeholder groups across Singapore's AI ecosystem including industry developers, government agencies deploying AI, research institutions, enterprises adopting AI, and the general workforce using AI tools.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The document establishes a coordinated government approach with various regulatory agencies responsible for their sectors. Specific agencies like IMDA and EnterpriseSG are mentioned as implementing specific programs, though enforcement is primarily through voluntary frameworks rather than penalties.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document establishes monitoring through a coordinated government platform and regular review mechanisms, though specific monitoring bodies are not named. The focus is on continuous review and adjustment of frameworks.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers all stages of the AI lifecycle comprehensively, with particular emphasis on Build and Use Model, Deploy, and Operate and Monitor stages. It addresses planning through strategic priorities, data collection and processing through PETs and data governance, model development through R&D initiatives, verification through testing frameworks, deployment through sectoral adoption programs, and ongoing monitoring through governance frameworks and security measures.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Generative AI
• Open Weight / Open Source

Technical Scope Summary

The document explicitly mentions AI models and AI systems throughout. It does not use the specific terms 'frontier AI', 'general purpose AI', 'task-specific AI', or 'foundation models', though it discusses foundational AI research. It mentions generative AI implicitly through references to AI capabilities. No specific compute thresholds are mentioned. The document does not explicitly address open-weight or open-source models.